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R&D Risk Management Based on QFD-BSC Combined Method ■_ Taking
New Product R&D Management of Company S as an Example
Abstract
Based on the realistic dilemma of Company S in risk management of new product
development, the article proposes a more effective approach to risk management of new
product development. Quality Function Deployment (QFD) method is good at enterprise
product development risk control in detail and Balanced Scorecard (BSC) method specializes
in corporate risk control at the macro. The risk management approach in the article will
combine QFD and BSC method. Single project risk management will rise to the level of
corporate strategy and single project risk management and performance measurement systems
will combine to enhance the success rate of new product development project in order to
eventually achieve corporate strategic goals.
The risk management approach to make the new product research and development
projects focused on the realization of corporate strategic goals. The method proposed a set of
systematic steps that can enable us to identify, assess,analyze and monitor the risk in the
entire project development cycle,and propose action plan to maximize the reduction of R&D
risks and improve the ability of enterprises to cope with risks.
The main idea of this paper is as follows:
(1) Systematically expounded risk management, QFD, BSC related theories.
(2) Description the company's overall situation, analysis focused on the main problems
of risk management in new product development of Company S,pointed out that the lack of
scientific management methods of risk management in new product development to make
sustainable development into trouble.
(3) For Company S status,the paper uses QFD and BSC combination method in the new
product development risk management, puts forward specific applications and detailed
implementation steps, and gives evaluation results of monitoring key risks after the
implementation of the application program. Combined the actual risk monitoring data and
R&D management control cost data, this paper carry out multivariate linear regression
analysis using SPSS tools to identify key risk factors that affect R&D management cost.
Finally,we combine monitor and action plans in the application program to optimize the risk
areas to control costs, targeted to strengthen risk control.
Keywords: Balanced Scorecard; quality function deployment; R&D risk management; R&D
performance
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